We implement our network on on a GeForce RTX 2080 Ti GPU using Tensorflow [1]} environment. For training, we use 0.001 as learning rate that gets reduced with a decay parameter of 0.8. We choose 0.5 as the decay rate for batch normalization with a batch size of 32. For classification, we train our model for 250 epochs, and for segmentation, we train our model for 200 epochs with the adam optimizer.
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